机场推荐与机场评测

Enable the interaction between ns-3 and popular frameworks using Python, which mean you can train and test your AI algorithms in ns-3 without changing any frameworks you are using now!

Create datapacks for Pixelmon mod with a graphical interface

A flexible 3D visualizer for displaying, debugging, presenting, and understanding ns-3 scenarios.

A PyTorch implementation of Implicit Q-Learning

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.

Curiosity-driven Exploration by Self-supervised Prediction

MARL for Autonomous Vehicles

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

多智能体强化学习（MARL）算法复现，包括QMIX，VDN，QTRAN、MAVEN等等

Paper list of multi-agent reinforcement learning (MARL)

Graph-based resource sharing in vehicular communication, IEEE Transactions on Wireless Communications

ns3-gym for multi-agent

WOSS is a framework that permits the integration of any underwater channel simulator that expects environmental data and provides a channel realization. WOSS integrates the Bellhop ray-tracing prog…

Traditional Leach Clustering Model in ns3

running quic on ns3

NS3 Simulator of 802.11ax

MATLAB and NS3 co-simulation

RL4Net Simulator - A simulator of reinforcement learning algorithm research for networking

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

Hemanth Narra's ns3 simple-wireless-tdma module

Reinforced Learning for NS3 in Cognitive Radio spectrum selection

Modified ns3 environment for reinforcement learning.

A fork of ns3 LTE module for reinforcement learning experiments

Computer networks course design.

Repository for the ns3 implementation of enhanced Q-routing with QoS